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Bayesian parameter estimation using Gaussian states and measurements
https://oist.repo.nii.ac.jp/records/2062
https://oist.repo.nii.ac.jp/records/2062b4cd4d7e-0b5f-4b17-913e-7443e19e74d9
名前 / ファイル | ライセンス | アクション |
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Morelli_2021_Quantum_Sci._Technol._6_025018 (1.7 MB)
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Creative Commons Attribution 4.0 International(https://creativecommons.org/licenses/by/4.0/)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2021-05-13 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Bayesian parameter estimation using Gaussian states and measurements | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | quantum metrology | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Bayesian estimation | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Gaussian quantum optics | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者(英) |
Morelli, Simon
× Morelli, Simon× Usui, Ayaka× Agudelo, Elizabeth× Friis, Nicolai |
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書誌情報 |
en : Quantum Science and Technology 巻 6, 号 2, p. 025018, 発行日 2021-03-05 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Bayesian analysis is a framework for parameter estimation that applies even in uncertainty regimes where the commonly used local (frequentist) analysis based on the Cramer-Rao bound (CRB) is not well defined. In particular, it applies when no initial information about the parameter value is available, e.g., when few measurements are performed. Here, we consider three paradigmatic estimation schemes in continuous-variable (CV) quantum metrology (estimation of displacements, phases, and squeezing strengths) and analyse them from the Bayesian perspective. For each of these scenarios, we investigate the precision achievable with single-mode Gaussian states under homodyne and heterodyne detection. This allows us to identify Bayesian estimation strategies that combine good performance with the potential for straightforward experimental realization in terms of Gaussian states and measurements. Our results provide practical solutions for reaching uncertainties where local estimation techniques apply, thus bridging the gap to regimes where asymptotically optimal strategies can be employed. | |||||
出版者 | ||||||
出版者 | IOP Publishing Ltd. | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 2058-9565 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1088/2058-9565/abd83d | |||||
権利 | ||||||
権利情報 | © 2021 The Author(s). | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://iopscience.iop.org/article/10.1088/2058-9565/abd83d | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |